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Learning Types

56,253 papers (3 classified directly here)

Self-Supervised Learning (8,965) Adversarial Learning (5,204) Unsupervised Learning (4,874) Transfer Learning (4,808) Weakly Supervised Learning (3,938) Contrastive Learning (3,748) Zero-Shot Learning (3,130) Semi-Supervised Learning (3,128) Reinforcement Learning (3,118) Multi-Task Learning (2,556) Evaluation (2,164) Continual Learning (2,107) Active Learning (1,983) Few-Shot Learning (1,840) Deep Learning (1,404) Online Learning (1,360) Multi-Armed Bandits (1,327) Multimodal Learning (1,289) Supervised Learning (986) Multi-Agent Systems (813) Uncertainty Quantification (805) Causal Inference (636) Robustness (576) Retrieval-Augmented Generation (565) Fine-Tuning (490) Ensemble Learning (482) In-Context Learning (439) Multi-Label Classification (430) Imitation Learning (387) Prompt Engineering (270) Multi-Lingual Learning (269) Distribution Shift (264) Reinforcement Learning from Human Feedback (209) Regularization (207) Exploration-Exploitation (203) Generative Models (200) Multi-Objective Optimization (185) Out-of-Distribution Detection (176) Sparse Learning (165) Sampling (150) Preference Learning (136) Offline Reinforcement Learning (130) Multi-Label Learning (128) Markov Decision Process (127) Neural Architecture Search (122) Multi-Instance Learning (121) Multi-View Learning (117) Robust Learning (110) Generative Model (110) Time Series (108) Large Language Models (104) Exploration (103) Hyperparameter Optimization (99) Machine Unlearning (95) Imbalanced Learning (93) Machine Translation (93) Multi-Class Classification (85) Differential Privacy (82) Time Series Analysis (71) Reasoning (70) Calibration (67) Structure Learning (66) Physics-Informed Learning (62) Class Imbalance (58) Model-Based RL (55) Interactive Learning (55) Multi-Domain Learning (47) Inverse Reinforcement Learning (46) Crowdsourcing (40) Off-Policy Learning (38) Label Noise (38) Noisy Label Learning (35) Offline RL (32) Attention (32) Evolutionary Algorithm (32) Decision Making (31) Policy Learning (30) Personalization (28) Low-Resource Learning (26) Collaborative Filtering (25) Self-Training (24) Sequential Modeling (24) Parameter Estimation (23) Survival Analysis (21) Machine Learning (20) Parameter-Efficient Fine-Tuning (20) Synthetic Data Generation (20) Annotation (18) Symbolic Regression (18) AutoML (16) Security (15) Multi-Source Learning (13) Distant Supervision (13) Text Generation (11) Distributional Reinforcement Learning (9) Sentiment Analysis (9) Multi-Hop Reasoning (9) Language Modeling (9) Code Generation (8) Multi-Object Tracking (8) Natural Language Inference (7) Chain-of-Thought (6) Question Answering (5)
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Papers (including subtopics)

Cross-lingual RST Discourse Parsing EACL 2017 Cross-lingual tagger evaluation without test data EACL 2017 Cross-Lingual Transfer Learning for POS Tagging without Cross-Lingual Resources EMNLP 2017 Cross-Lingual Word Embeddings for Low-Resource Language Modeling EACL 2017 CROWD-IN-THE-LOOP: A Hybrid Approach for Annotating Semantic Roles EMNLP 2017 Crowd Learning: Improving Online Decision Making Using Crowdsourced Data IJCAI 2017 Crowd-Sourced Iterative Annotation for Narrative Summarization Corpora EACL 2017 Crowdsourcing Universal Part-of-Speech Tags for Code-Switching Interspeech 2017 Curiosity-driven Exploration by Self-supervised Prediction ICML 2017 Curriculum Learning in Reinforcement Learning IJCAI 2017 CYUT at IJCNLP-2017 Task 3: System Report for Review Opinion Diversification IJCNLP 2017 DARLA: Improving Zero-Shot Transfer in Reinforcement Learning ICML 2017 DART: Noise Injection for Robust Imitation Learning CoRL 2017 Data-Driven Broad-Coverage Grammars for Opinionated Natural Language Generation (ONLG) ACL 2017 DDCO: Discovery of Deep Continuous Options for Robot Learning from Demonstrations CoRL 2017 Decoding with Value Networks for Neural Machine Translation NeurIPS 2017 Deconvolutional Paragraph Representation Learning NeurIPS 2017 Decoupling "when to update" from "how to update" NeurIPS 2017 Deep Auto-Encoder Based Multi-Task Learning Using Probabilistic Transcriptions Interspeech 2017 Deep Automated Multi-task Learning IJCNLP 2017 Deep Bayesian Active Learning with Image Data ICML 2017 Deep Clustering-Based Beamforming for Separation with Unknown Number of Sources Interspeech 2017 Deep Descriptor Transforming for Image Co-Localization IJCAI 2017 Deep Future Gaze: Gaze Anticipation on Egocentric Videos Using Adversarial Networks CVPR 2017 Deep Hashing Network for Unsupervised Domain Adaptation CVPR 2017